SynthBoard
PricingEnterprise

Product

  • Features
  • Session Modes
  • Synths
  • Session Assistant
  • Free Session
  • Pricing
  • Compare

Solutions

  • For Founders
  • For Creators
  • For Product Leaders
  • For Consultants
  • For Teams
  • All use cases

By Method

  • AI Boardroom
  • AI Advisory Board
  • Decision Intelligence
  • AI Pre-Mortem
  • AI Stress Test
  • AI Council
  • Decision Autopsy
  • See all methods

Developers

  • MCP Server
  • REST API
  • API Reference
  • Webhooks
  • Docs & Help
  • Security

Resources

  • Docs & Help
  • Blog
  • Glossary
  • Contact

Company

  • Manifesto
  • About
  • Enterprise

Legal

  • Privacy Policy
  • Terms of Service
  • Security
  • Refund Policy
Stay Updated

Get AI Insights Weekly

Join our newsletter for product updates, decision-making insights, and exclusive member content.

No spam, unsubscribe anytime. Read our Privacy Policy.

SynthBoardDecision Intelligence Platform
© 2026 SynthBoard AI

Built with ❤️ for the future of AI collaboration

Category

AI Decisioning Platform — multi-LLM decisioning, on demand.

An AI decisioning platform that disagrees with itself on purpose. Multi-LLM under the hood. 24 expert advisors. Cross-session memory. Governed actions. Built for the calls where the cost of being wrong is high.

Start Free

What an AI decisioning platform is

An AI decisioning platform applies AI to the act of making decisions, not just analyzing them.Decision support tools surface data — dashboards, BI charts, summaries — and leave the actual decision in the human's head. Decisioning platforms produce the recommendation itself, with reasoning attached, ready for a human to approve, reject, or override.

The strongest decisioning platforms are multi-agent and multi-LLM. Multi-agent: the platform convenes multiple expert AI models, each with a different cognitive lens. Multi-LLM: each agent runs on the model family that best fits its reasoning style, so disagreement is real rather than theatrical. The output is a synthesized recommendation backed by consensus scoring with preserved dissents.

SynthBoard is the productized form — 24 expert AI advisors (Synths), 10 session modes, multi-LLM routing across OpenAI, Anthropic, Google, and Perplexity, cross-session memory, and a governance layer with provenance, audit, approval, and 30-second undo.

What makes a real AI decisioning platform

Multi-agent by design

24 expert advisors with different priors, time horizons, and risk tolerances. Disagreement is the product, not a bug.

Multi-LLM under the hood

Each Synth assigned to the model that fits its cognitive style. No single provider’s blind spots dominate the decision.

Position integrity

Six-layer persona stack engineered for anti-sycophancy. Synths defend their corner under pressure rather than collapsing to consensus.

Cross-session memory

Every decision is captured. Future calls reason in light of every prior call.

Outcome-inferred learning

Outcomes from connected tools (Stripe, Linear, Calendar, Gmail) feed back automatically. The platform learns whether the advice actually worked.

Enterprise governance

Provenance, audit trail, approval gates, 30-second undo, multi-tenant isolation, SOC 2-aligned, never-train-on-data.

Decisioning vs decision support

Decision support (BI, dashboards)Single-AI chatSynthBoard decisioning
OutputData, charts, summariesOne AI’s answerMulti-agent synthesized recommendation with dissents preserved
DisagreementNone — neutralNone — agreement-biasedEngineered into every persona
MemoryYes — your dataLimited per-conversationCross-session, decision-aware
Outcome loopManualNoneInferred from connected tools
ActionRead-onlySuggestionsApproval-gated execution with undo
Best forReporting and analysisDrafts and Q&AStrategic decisions where the cost of wrong is high

Run AI-powered decisioning, on demand.

Free to start. 250 bonus credits on signup, 150 every month, no card required.

Start Free See the platform

Frequently Asked Questions

What is an AI decisioning platform?
An AI decisioning platform is software that applies AI to the act of making decisions — not just analyzing them. The strongest decisioning platforms are multi-agent and multi-LLM: they convene multiple expert AI models, route each to the model that fits its reasoning style, structure disagreement across rounds, and produce a synthesized recommendation with consensus scoring and preserved minority opinions. SynthBoard is the productized form — 24 expert AI advisors, 10 session modes, multi-LLM under the hood.
How is "decisioning" different from "decision support"?
Decision support tools surface data; the decision still happens in the human's head. Decisioning platforms produce the recommendation itself, with reasoning attached, ready for a human to approve, reject, or override. SynthBoard sits in the decisioning category — the board produces a clear recommendation with consensus, dissents, and next steps. You make the final call.
Why does multi-LLM matter for decisioning?
Single-LLM decisioning inherits the blind spots of a single provider. Different model families have different cognitive biases, training data weights, and failure modes. Multi-LLM decisioning routes each AI advisor to the model that fits its persona — Claude Opus for contrarians, GPT for operators, o3 for hard reasoning, Gemini for breadth, Perplexity for live research. Disagreement becomes real rather than theatrical.
What kinds of decisions does an AI decisioning platform handle?
Strategic, operational, financial, hiring, vendor selection, M&A, pricing, product, market entry, and high-stakes personal decisions. Anywhere the cost of being wrong is significant and the value of structured disagreement is high. The platform is general-purpose; specific session modes shape the board for the decision type.
Is this for enterprise or for individuals?
Both. SynthBoard ships free for individuals (250 bonus credits + 150 monthly), Pro ($20) and Max ($50) for power users, and Enterprise tier with custom Synths, SSO, dedicated support, and SOC 2-aligned controls. The same decisioning engine serves a solo decision-maker and a Fortune 500 procurement team.
How does SynthBoard compare to legacy decisioning platforms (e.g., Cloverpop)?
Legacy decisioning platforms like Cloverpop focus on logging, routing, and tracking decisions that already exist. SynthBoard focuses on producing the decision itself with multi-agent reasoning. They serve different layers of the stack — SynthBoard is upstream of where Cloverpop sits.
Does the platform learn over time?
Yes. Cross-session memory keeps every decision. Outcomes are inferred from connected tools (Stripe, Linear, Calendar, Gmail, GitHub) — the platform learns whether a recommendation actually worked. Synth personas evolve from real outcomes, automatically.
Is it API-first?
Yes. SynthBoard ships a REST API, an MCP server (Claude Desktop, Cursor, ChatGPT, Windsurf, Zed), and native adapters for Zapier, n8n, Make, Pipedream, Activepieces, and Arcade. You can call the decisioning engine from any agent, workflow, or product.

Related Resources

Decision Intelligence

The parent discipline.

Explore

AI Boardroom

The product manifesto.

Explore

Virtual Boardroom

A standing AI board of advisors, on demand.

Explore

Multi-Perspective AI

Why multiple AI perspectives beat one.

Explore

AI Anti-Sycophancy

AI engineered to disagree, not flatter.

Explore

Enterprise

Decision intelligence for organizations at scale.

Explore

Platform

API, MCP, integrations, multi-LLM routing.

Explore